Annapurna Labs, an Amazon company, is recruiting interns for its 2026 Summer Internship Program in the United States. This is a unique opportunity for students passionate about machine learning systems, silicon innovation, and large-scale computing to contribute to the technologies powering AWS’s most advanced AI infrastructure.
At Annapurna Labs, interns work on real-world engineering challenges—from building ML accelerator chips and distributed training systems to creating next-generation compilers and runtime software. The program emphasizes meaningful technical ownership, mentorship from senior engineers, and exposure to projects that impact millions of customers worldwide.
Employer: Annapurna Labs (U.S.) Inc., an Amazon Company
Job ID: 3137672
Location: United States
Program Type: Summer Internship, 12 weeks, full time
Application Deadline: Not specified (apply as soon as possible)
Internship Tracks
ML Systems and Compilers
- Framework optimization (PyTorch, JAX)
- Compiler development and optimization
- Distributed training systems
- Performance engineering
- ML infrastructure development
Systems Software and Infrastructure
- Firmware and driver development
- Runtime systems
- Fleet management and automation
- Hardware–software integration
- Performance analysis tools
Silicon Innovation and Design
- RTL development for ML accelerators
- Hardware architecture and modeling
- Physical design and power optimization
- Custom circuit design
- Pre- and post-silicon validation
Your placement will be determined through the interview process based on your background, interests, and available projects.
What You Will Do
Interns collaborate closely with mentors and technical teams while owning real engineering projects. A typical day may include:
- Team stand-ups and technical discussions
- Deep technical work on ML frameworks, firmware, or chip design
- Collaboration with mentors and peer interns
- Participation in team meetings and intern cohort activities
- Social and professional networking events
About the Team
Annapurna Labs fosters a culture of innovation and mentorship. Many senior engineers began their careers here as interns, and the program is designed to blend hands-on engineering experience with professional development. Interns join a diverse cohort from universities across the country and often return to Annapurna Labs as full-time engineers after graduation.
Basic Qualifications
- Ability to work at least 40 hours per week for up to 12 weeks
- Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field
- Enrolled full time and returning to school after the internship
- Programming experience in C, C++, Python, or similar languages
- Experience in at least two of the following:
- Systems or low-level programming
- Compiler design or optimization
- Machine learning frameworks
- Distributed systems or parallel computing
- Performance analysis
- Hardware design (RTL, Verilog, FPGA)
Preferred Qualifications
- Prior internship, research, or major project experience in ML systems, hardware–software co-design, or computer architecture
- Open-source contributions or research publications
- Coursework in machine learning, parallel computing, computer architecture, or compiler construction
Compensation and Benefits
- Competitive internship pay (final amount depends on experience, qualifications, and location)
- Access to Amazon benefits from Day 1, including Employee Assistance Programs, mental health support, medical advice lines, and 401(k) matching
- Inclusive workplace culture and accommodation support throughout the hiring process
Equal Opportunity Statement
Amazon is an equal opportunity employer and considers qualified applicants regardless of protected status. Applicants who require workplace accommodations during the recruitment process are encouraged to request support through Amazon’s hiring channels.
Annapurna Labs at AWS is offering paid summer internships in the U.S. for students in computer science and engineering fields who want to work on machine learning systems, custom silicon, compilers, and large-scale infrastructure. The program combines real technical impact, mentorship, and career development within one of the world’s leading technology companies, making it an excellent opportunity for youth aiming to build careers in AI and hardware innovation.
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